Triple

T13040053
Position Surface form Disambiguated ID Type / Status
Subject Front Range, Colorado E327167 entity
Predicate containsCity P294 FINISHED
Object Berthoud E907082 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Berthoud | Statement: [Front Range, Colorado, containsCity, Berthoud]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berthoud
Context triple: [Front Range, Colorado, containsCity, Berthoud]
  • A. Nyngan
    Nyngan is a rural town in central New South Wales, Australia, situated on the Bogan River and serving as a service and transport hub for the surrounding agricultural region.
  • B. Berthoud, Colorado chosen
    Berthoud, Colorado is a small Front Range town known for its historic downtown, agricultural roots, and location between the cities of Loveland and Longmont.
  • C. Rangely
    Rangely is a small town in northwestern Colorado known for its energy industry, outdoor recreation, and proximity to Dinosaur National Monument.
  • D. Glenwood
    Glenwood is a small city in southwestern Iowa known as the county seat of Mills County and its historic downtown and community events.
  • E. Glenwood
    Glenwood is a small rural village located within Cardston County in southern Alberta, Canada.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8076e64308190904fb5c93517c901 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d9804d8e3081909584c93df099859a completed April 10, 2026, 10:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbd2f6a481909fdd418e7ad3cc22 completed May 3, 2026, 4:15 a.m.
Created at: April 9, 2026, 8:55 p.m.